正在加载视频...

视频加载失败

Here’s how I would learn data engineering in 2025: 1. The basics: - learn SQL — SELECT, FROM, WHERE, GROUP BY, JOIN, HAVING, etc - learn Python — data structures: objects, arrays, tuples, namedtuples — algorithms: recursion, loops 2. Intermediate - learn distributed compute — pick up PySpark or...

29,968 次观看 • 1 年前 •via X (Twitter)

9 条评论

vingança da rainha anne 的头像
vingança da rainha anne1 年前

Roadmap

Ayobami.Ola 的头像
Ayobami.Ola1 年前

Roadmap

W0lfgeng 的头像
W0lfgeng1 年前

Roadmap

Martin Shein 的头像
Martin Shein1 年前

Roadmap

asa of tech 的头像
asa of tech1 年前

Roadmap

4Eyed Ìfẹ́luyì Asojú 的头像
4Eyed Ìfẹ́luyì Asojú1 年前

Roadmap

esp 的头像
esp1 年前

Roadmap

Azningnam 的头像
Azningnam1 年前

Roadmap

Kshiteej Pitta 的头像
Kshiteej Pitta1 年前

Roadmap

相关视频

We just launched a major new Data Engineering Professional Certificate on Coursera! Data underlies all modern AI systems, and engineers who know how to build systems to store and serve it are in high demand. If you're interested in learning this skill, please check out this 4-course sequence, which is designed to make you job-ready to be a Data Engineer. This is a new specialization taught by Joe Reis, the co-author of the best-selling book “Fundamentals of Data Engineering," in collaboration with AWS. (Disclosure, I serve on Amazon's board.) For many AI systems, data engineering is 80% of the work, and modeling is 20%. But people’s attention on these two topics is often flipped. This makes the job of the data engineer particularly important. In this professional certificate, you'll learn foundational data engineering skills while implementing modern data architectures using open-source tools: - Learn the key steps of the data lifecycle, to generate, ingest, store, transform, and serve data. - Learn to align with organizational goals to design the data pipeline right for your business' needs. - Understand how to make necessary trade-offs between speed, scalability, security, and cost. Joe has distilled into this specialization decades of experience helping startups and large companies with data infrastructure. He is also joined by 17 other industry leaders in the data field, who will help you learn in-demand skills for the growing field of data engineering. Please sign up here:

Andrew Ng

120,581 次观看 • 2 年前